Luc Rocher
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
Papers in
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- Privacy-Preserving Technologies in Data 6
- Internet Traffic Analysis and Secure E-voting 2
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- Human Mobility and Location-Based Analysis 2
- Co-authors
- Yves-Alexandre de Montjoye (8 shared papers)Julien M. Hendrickx (3 shared papers)Alex Pentland (1 shared paper)Guy Parsons (1 shared paper)Adam Mahdi (1 shared paper)Reuben Binns (1 shared paper)Rebecca Elizabeth Payne (1 shared paper)Lionel Tarassenko (1 shared paper)
- Journals
- Nature Communications (3 papers)BMJ (1 paper)Nature (1 paper)Science Advances (1 paper)AI & Society (1 paper)
- Partner nations
- United KingdomBelgiumUnited States
In The Last Decade
Luc Rocher
11 papers receiving 588 citations
Luc Rocher's Hit Papers
Peers
Comparison fields: 5 of 102
- Health Informatics 85
- Artificial Intelligence 261
- Transportation 43
- Safety Research 49
- Computer Science Applications 24
Countries citing papers authored by Luc Rocher
This map shows the geographic impact of Luc Rocher's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Luc Rocher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luc Rocher more than expected).
Fields of papers citing papers by Luc Rocher
This network shows the impact of papers produced by Luc Rocher. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Luc Rocher. The network helps show where Luc Rocher may publish in the future.
Co-authors
The 14 scholars most cited alongside Luc Rocher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Estimating the success of re-identifications in incomplete datasets using generative models Hit paper breakdown → | 2019 | 524 |
| 2 | 2024 | 39 | |
| 3 | bandicoot: a python toolbox for mobile phone metadata | 2016 | 25 |
| 4 | Solving Artificial Intelligence’s Privacy Problem | 2017 | 13 |
| 5 | 2022 | 11 | |
| 6 | 2026 | 11 | |
| 7 | 2025 | 4 | |
| 8 | 2023 | 1 | |
| 9 | 2021 | 1 | |
| 10 | 2026 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 |
About Luc Rocher
Luc Rocher is a scholar working on Artificial Intelligence, Transportation, Safety Research, Sociology and Political Science and Health Information Management, having authored 14 papers that have together received 631 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (6 papers), Privacy, Security, and Data Protection (5 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Data-Driven Disease Surveillance (2 papers), Ethics and Social Impacts of AI (2 papers), Human Mobility and Location-Based Analysis (2 papers), Green IT and Sustainability (1 paper) and Blockchain Technology Applications and Security (1 paper). The work is most often cited by research in Health Informatics (85 citations), Artificial Intelligence (261 citations), Transportation (43 citations), Safety Research (49 citations) and Computer Science Applications (24 citations). Luc Rocher has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include Yves-Alexandre de Montjoye, Julien M. Hendrickx, Alex Pentland, Guy Parsons, Adam Mahdi, Reuben Binns, Rebecca Elizabeth Payne, Lionel Tarassenko, Patricia Kingori and Jessica Morley. Their work appears in journals such as Nature Communications, BMJ, Nature, Science Advances and AI & Society.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.